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The analysis of household surveys : a microeconometric approach to development policy /
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Washington, DC :
World Bank Group,
[2018]
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| Edición: | Reissue edition with a new preface. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Half Title; Title; Copyright; Contents; Preface; Introduction; Purpose and intended audience; Policy and data: methodological issues; Structure and outline; Chapter 1: The design and content of household surveys; 1.1 Survey design; Survey frames and coverage; Strata and clusters; Unequal selection probabilities, weights, and inflation factors; Sample design in theory and practice; Panel data; 1.2 The content and quality of survey data; Individuals and households; Reporting periods; Measuring consumption; Measuring income; 1.3 The Living Standards Surveys; A brief history
- Design features of LSMS surveysWhat have we learned?; 1.4 Descriptive statistics from survey data; Finite populations and superpopulations; The sampling variance of the mean; Using weights and inflation factors; Sampling variation of probability-weighted estimators; Stratification; Two-stage sampling and clusters; A superpopulation approach to clustering; Illustrative calculations for Pakistan; The bootstrap; 1.5 Guide to further reading; Chapter 2: Econometric issues for survey data; 2.1 Survey design and regressions; Weighting in regressions; Recommendations for practice
- 2.2 The econometrics of clustered samplesThe economics of clusters in developing countries; Estimating regressions from clustered samples; 2.3 Heteroskedasticity and quantile regressions; Heteroskedasticity in regression analysis; Quantile regressions; Calculating quantile regressions; Heteroskedasticity and limited dependent variable models; Robust estimation of censored regression models; Radical approaches to censored regressions; 2.4 Structure and regression in nonexperimental data; Simultaneity, feedback, and unobserved heterogeneity; Example 1. Prices and quantities in local markets
- Example 2. Farm size and farm productivityExample 3. The evaluation of projects; Example 4. Simultaneity and lags: nutrition and productivity; Measurement error; Selectivity issues; 2.5 Panel data; Dealing with heterogeneity: difference- and within-estimation; Panel data and measurement error; Lagged dependent variables and exogeneity in panel data; 2.6 Instrumental variables; Policy evaluation and natural experiments; Econometric issues for instrumental variables; 2.7 Using a time-series of cross-sections; Cohort data: an example; Cohort data versus panel data
- Panel data from successive cross sectionsDecompositions by age, cohort, and year; 2.8 Two issues in statistical inference; Parameter transformations: the delta method; Sample size and hypothesis tests; 2.9 Guide to further reading; Chapter 3: Welfare, poverty, and distribution; 3.1 Living standards, inequality, and poverty; Social welfare; Inequality and social welfare; Measures of inequality; Poverty and social welfare; The construction of poverty lines; Measures of poverty; The choice of the individual welfare measure; Example 1. Inequality and poverty over time in Côte d'lvoire